Analyse maisons - Shapash

Interpretation des predictions maisons

Project_Information

Author : VotreNom

Description : Rapport Shapash pour maisons

Project_Name : Analyse xgboost_maison


Model analysis

Model used : XGBRegressor

Library : xgboost.sklearn

Library version : 3.0.2

Model parameters :

Parameter key Parameter value
n_estimators 294
objective reg:squarederror
max_depth 8
max_leaves None
max_bin None
grow_policy None
learning_rate 0.04250307873845384
verbosity None
booster None
tree_method None
gamma None
min_child_weight None
max_delta_step None
subsample 0.6209121066656406
sampling_method None
colsample_bytree 0.8977029034789856
colsample_bylevel None
colsample_bynode None
reg_alpha None
reg_lambda None
Parameter key Parameter value
scale_pos_weight None
base_score None
missing nan
num_parallel_tree None
random_state None
n_jobs None
monotone_constraints None
interaction_constraints None
importance_type None
device None
validate_parameters None
enable_categorical False
feature_types None
feature_weights None
max_cat_to_onehot None
max_cat_threshold None
multi_strategy None
eval_metric None
early_stopping_rounds None
callbacks None
_Booster

Dataset analysis

Global analysis

Training dataset Prediction dataset
number of features NaN 55
number of observations NaN 2,783
missing values NaN 0
% missing values NaN 0

Univariate analysis

etage - Categorical

Prediction dataset
distinct values 1
missing values 0

Target analysis

prix_m2_vente - Numeric

Prediction dataset
count 2,783
mean 2,710
std 951
min 150
25% 2,100
50% 2,700
75% 3,250
max 8,190

Multivariate analysis


Model explainability

Note : the explainability graphs were generated using the test set only.

Global feature importance plot

Features contribution plots

etage -


Model performance

Univariate analysis of target variable

prix_m2_vente - Numeric

True values Prediction values
count 2,783 2,783
mean 2,710 2,700
std 951 740
min 150 414
25% 2,100 2,230
50% 2,700 2,710
75% 3,250 3,160
max 8,190 6,380

Metrics

MAE : 399

R2 : 0.653

MSE : 313,000

MAPE : 0.173

MdAE : 300

Explained Variance : 0.654